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PSO Applied to Table Allocation Problems

  • David A. Braude
  • Anton van Wyk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

Abstract

Table allocation is a type of assignment problem. The aim of table allocation is to assign multiple people to a single table in such a way that it minimizes a cost function. While particle swarm optimization (PSO) is normally used for continuous variables it has been adapted to solve this problem. Each particle represents an entire seating arrangement, and the velocity is the amount of times people swap tables during each iteration. In an example application PSO shows a significant improvement in fitness compared to the initial conditions, and has a low runtime. It also performs better in fitness improvement and runtime compared to choosing as many random samples as PSO generated. The use of PSO allows for generalized cost functions, and is simple to implement.

Keywords

Particle Swarm Optimization Uniform Random Number Random Approach Generalize Cost Function Seating Arrangement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • David A. Braude
    • 1
    • 2
  • Anton van Wyk
    • 2
  1. 1.Information Security, Modeling and Digital SciencesCSIRPretoriaSouth Africa
  2. 2.School of Electrical and Information EngineeringUniversity of the WitwatersrandJohannesburgSouth Africa

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